{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["time", "damage amount", "compromised data", "attack pattern", "tool", "victim", "attacker", "number of data", "number of victim"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerability", "time", "vulnerable system owner", "common vulnerabilities and exposures", "capabilities", "vulnerable system", "supported platform"]}, {"event_type": "phishing", "trigger": true, "arguments": ["damage amount", "purpose", "place", "time", "attacker", "attack pattern", "trusted entity", "victim", "tool"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["issues addressed", "vulnerable system version", "common vulnerabilities and exposures", "time", "patch number", "releaser", "vulnerable system", "patch", "vulnerability"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "attack pattern", "payment method", "tool", "time", "damage amount"]}], "input": "“ Legacy systems are common attack points , as they are often neglected , go without updates or patches and are commonly not monitored , which gives criminals an ideal avenue to gain access and steal whatever data may be resident there ."}
{"data breach": [{"trigger": "gain access and steal", "arguments": {"time": "NAN", "damage amount": "NAN", "compromised data": "data", "attack pattern": "NAN", "tool": "NAN", "victim": "NAN", "attacker": "criminals", "number of data": "NAN", "number of victim": "NAN"}}], "discover vulnerability": [], "phishing": [], "patch vulnerability": [], "ransom": []}